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Uncertainty Quantification in CompositeMaterials
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Tal, David. |
| 단체저자명 | Columbia University. Civil Engineering and Engineering Mechanics. |
| 서명/저자사항 | Uncertainty Quantification in CompositeMaterials. |
| 발행사항 | [S.l.] : Columbia University., 2018 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
| 형태사항 | 112 p. |
| 소장본 주기 | School code: 0054. |
| ISBN | 9780438173064 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Jacob Fish. |
| 요약 | The random nature of the micro-structural attributes in materials in general and composite material systems in particular requires expansion of material modeling in a way that will incorporate their inherent uncertainty and predict its impact on |
| 요약 | The work presented in this essay takes a few steps towards an improved material modeling approach which encompasses structural randomness in order to produce a more realistic representation of material systems. For this end a computational frame |
| 요약 | Image processing and analysis in one of the material systems extended the original scope of this work to solving a machine vision and learning problem. Object segmentation for the purpose object and pattern recognition has been a long standing s |
| 일반주제명 | Computational physics. Statistics. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International79-12B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14999640 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00025487 | 530 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |
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